声传感:基于模型的生成和歧视方法来检测螺栓松动
Liehai Cheng1, Zhenli Zhang1, Giuseppe Lacidogna2
1Shandong Electric Power Engineering Consulting Institute Corp., Ltd., Jinan 250013, China.
Sensors (Basel, Switzerland)
|October 16, 2024
概括
这项研究引入了一种改进的音频信号处理方法,用于检测螺栓松动,提高可靠性和强度. 新方法实现了高精度,为结构完整性监测提供了更可靠的解决方案.
科学领域:
- 工程 工程师 工程师 工程师
- 结构健康监测 结构健康监测
- 声学信号处理 声学信号处理
背景情况:
- 螺栓松动检测对于结构安全至关重要.
- 基于敲击的方法很简单,但受到主观性和噪音的限制.
- 现有的方法需要提高可靠性和稳定性.
研究的目的:
- 开发一种使用音频信号处理检测螺栓松动的强大可靠方法.
- 为了克服传统的基于打击乐的方法的局限性.
- 为了提高螺栓松动检测的准确性和一致性.
主要方法:
- 音频信号预处理:无声化,细分和平滑过.
- 使用累积能量 (CEE) 和Mel频率 Cepstrum系数 (MFCCs) 的特征提取.
- 使用高斯区分分析 (GDA) 和支持向量机 (SVM) 进行分类.
主要成果:
- 提出的方法在可靠性和稳定性方面取得了显著的改进.
- 使用CEE和MFCC有效提取损害指数向量.
- 经过训练的模型实现了高的测试准确性,在不同的扭矩条件下接近90%和96.7%.
结论:
- 开发的信号处理技术和损坏指数向量增强了螺栓松的检测.
- 该方法为传统方法提供了更客观,更准确的替代方案.
- 这种技术显示出在结构完整性监测中实际应用的巨大潜力.
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